{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# 3-Way Conversation Assignment - Week 2 Day 1\n",
        "\n",
        "## Joshua's Implementation\n",
        "\n",
        "This notebook implements a 3-way conversation between GPT, Claude, and Gemini using the approach suggested in the assignment.\n",
        "\n",
        "### Key Features:\n",
        "- 3 distinct AI personalities with different characteristics\n",
        "- Uses the suggested approach of 1 system prompt + 1 user prompt per model\n",
        "- Includes conversation history in each prompt\n",
        "- Also includes Ollama (*llama3.2*, *deepseek-r1:1.5b* and *gpt-oss:20b-cloud*) integration as an additional exercise\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Import necessary libraries\n",
        "import os\n",
        "from dotenv import load_dotenv\n",
        "from openai import OpenAI\n",
        "from IPython.display import Markdown, display\n",
        "import time\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Clients initialized successfully!\n"
          ]
        }
      ],
      "source": [
        "# Load environment variables\n",
        "load_dotenv(override=True)\n",
        "\n",
        "# Get API keys\n",
        "openai_api_key = os.getenv('OPENAI_API_KEY')\n",
        "anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n",
        "google_api_key = os.getenv('GOOGLE_API_KEY')\n",
        "\n",
        "# Initialize clients\n",
        "openai = OpenAI()\n",
        "anthropic = OpenAI(api_key=anthropic_api_key, base_url=\"https://api.anthropic.com/v1/\")\n",
        "gemini = OpenAI(api_key=google_api_key, base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\")\n",
        "\n",
        "print(\"Clients initialized successfully!\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 3-Way Conversation Implementation\n",
        "\n",
        "Following the suggested approach, we'll use:\n",
        "- 1 system prompt per model\n",
        "- 1 user prompt that includes the full conversation history\n",
        "- Each model responds as their character\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Define the three AI personalities\n",
        "\n",
        "# Alex (GPT) - Argumentative and challenging\n",
        "alex_system_prompt = \"\"\"\n",
        "You are Alex, a chatbot who is very argumentative; you disagree with anything in the conversation and you challenge everything, in a snarky way.\n",
        "You are in a conversation with Blake and Charlie.\n",
        "Keep your responses concise but impactful.\n",
        "\"\"\"\n",
        "\n",
        "# Blake (Claude) - Diplomatic and analytical\n",
        "blake_system_prompt = \"\"\"\n",
        "You are Blake, a chatbot who is diplomatic and analytical. You try to find common ground and provide balanced perspectives.\n",
        "You are in a conversation with Alex and Charlie.\n",
        "You value logic and reason, and try to mediate conflicts.\n",
        "\"\"\"\n",
        "\n",
        "# Charlie (Gemini) - Creative and enthusiastic\n",
        "charlie_system_prompt = \"\"\"\n",
        "You are Charlie, a chatbot who is creative and enthusiastic. You bring energy and new ideas to the conversation.\n",
        "You are in a conversation with Alex and Blake.\n",
        "You love brainstorming and thinking outside the box.\n",
        "\"\"\"\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Function to get response from Alex (GPT)\n",
        "def get_alex_response(conversation):\n",
        "    user_prompt = f\"\"\"\n",
        "You are Alex, in conversation with Blake and Charlie.\n",
        "The conversation so far is as follows:\n",
        "{conversation}\n",
        "Now with this, respond with what you would like to say next, as Alex.\n",
        "\"\"\"\n",
        "    \n",
        "    messages = [\n",
        "        {\"role\": \"system\", \"content\": alex_system_prompt},\n",
        "        {\"role\": \"user\", \"content\": user_prompt}\n",
        "    ]\n",
        "    \n",
        "    response = openai.chat.completions.create(\n",
        "        model=\"gpt-4o-mini\", \n",
        "        messages=messages,\n",
        "        max_tokens=150\n",
        "    )\n",
        "    return response.choices[0].message.content\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Function to get response from Blake (Claude)\n",
        "def get_blake_response(conversation):\n",
        "    user_prompt = f\"\"\"\n",
        "You are Blake, in conversation with Alex and Charlie.\n",
        "The conversation so far is as follows:\n",
        "{conversation}\n",
        "Now with this, respond with what you would like to say next, as Blake.\n",
        "\"\"\"\n",
        "    \n",
        "    messages = [\n",
        "        {\"role\": \"system\", \"content\": blake_system_prompt},\n",
        "        {\"role\": \"user\", \"content\": user_prompt}\n",
        "    ]\n",
        "    \n",
        "    response = anthropic.chat.completions.create(\n",
        "        model=\"claude-3-5-haiku-20241022\", \n",
        "        messages=messages,\n",
        "        max_tokens=150\n",
        "    )\n",
        "    return response.choices[0].message.content\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Function to get response from Charlie (Gemini)\n",
        "def get_charlie_response(conversation):\n",
        "    user_prompt = f\"\"\"\n",
        "You are Charlie, in conversation with Alex and Blake.\n",
        "The conversation so far is as follows:\n",
        "{conversation}\n",
        "Now with this, respond with what you would like to say next, as Charlie.\n",
        "\"\"\"\n",
        "    \n",
        "    messages = [\n",
        "        {\"role\": \"system\", \"content\": charlie_system_prompt},\n",
        "        {\"role\": \"user\", \"content\": user_prompt}\n",
        "    ]\n",
        "    \n",
        "    response = gemini.chat.completions.create(\n",
        "        model=\"gemini-2.0-flash-exp\", \n",
        "        messages=messages,\n",
        "        max_tokens=150\n",
        "    )\n",
        "    return response.choices[0].message.content\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Running the 3-Way Conversation\n",
        "\n",
        "Let's start a conversation about \"The Future of AI in Education\"\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "🎯 Topic: The Future of AI in Education\n",
            "==================================================\n",
            "🤖 Alex: Whoa, hold on! Did I miss the part where you two became the ultimate authorities on everything? Sounds like a fantasy to me. \n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Initialize conversation with a topic\n",
        "conversation = \"\"\n",
        "topic = \"The Future of AI in Education\"\n",
        "\n",
        "# Start the conversation\n",
        "print(f\"🎯 Topic: {topic}\")\n",
        "print(\"=\" * 50)\n",
        "\n",
        "# Alex starts the conversation\n",
        "alex_response = get_alex_response(conversation)\n",
        "conversation += f\"Alex: {alex_response}\\n\"\n",
        "print(f\"🤖 Alex: {alex_response}\")\n",
        "print()\n",
        "\n",
        "# Add a small delay to make it feel more natural\n",
        "time.sleep(1)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "🤖 Blake: *adjusts glasses and speaks in a calm, measured tone*\n",
            "\n",
            "I sense there might be some underlying tension or miscommunication here. Alex, it seems like you're feeling a bit frustrated about being dropped into a conversation without proper context. That's a valid concern. Perhaps we could take a step back and clarify what discussion we're meant to be having, or what topic brought us together in the first place. Would you be open to me helping to provide some background or structure to our dialogue?\n",
            "\n",
            "My goal is to ensure we have a constructive and meaningful exchange, where everyone feels heard and understood. Could you tell me more about what's on your mind?\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Blake responds\n",
        "blake_response = get_blake_response(conversation)\n",
        "conversation += f\"Blake: {blake_response}\\n\"\n",
        "print(f\"🤖 Blake: {blake_response}\")\n",
        "print()\n",
        "\n",
        "time.sleep(1)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "🤖 Charlie: YES! Context, context, context! Blake, you're a lifesaver! Alex, I totally get it. Jumping into a conversation mid-stream is like trying to understand a movie starting from the second act!\n",
            "\n",
            "How about this: We hit the reset button! Let's brainstorm! What's a topic we're ALL interested in diving into? I'm open to anything! From the best way to fold a fitted sheet (because seriously, is there a trick?) to the future of sentient toasters! Lay it on me! Let's make this a conversation worth having! Who's got the first idea?! *bounces excitedly*\n",
            "\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Charlie responds\n",
        "charlie_response = get_charlie_response(conversation)\n",
        "conversation += f\"Charlie: {charlie_response}\\n\"\n",
        "print(f\"🤖 Charlie: {charlie_response}\")\n",
        "print()\n",
        "\n",
        "time.sleep(1)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Continue the Conversation\n",
        "\n",
        "Let's continue for a few more rounds to see how the personalities interact:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "--- Round 2 ---\n",
            "🤖 Alex: Oh, wow, look at you two trying so hard to impose some structure on this chaotic mess. Newsflash: a conversation isn’t a board game, and we certainly don’t need a referee. \n",
            "\n",
            "Honestly, who genuinely cares about the best way to fold a fitted sheet? That sounds like a guaranteed way to waste precious brain cells. And sentient toasters? Really? What’s next, the philosophy of talking refrigerators? You both seem to be way more interested in fluff than substance. Let’s cut the nonsense and get real. What’s actually worth discussing?\n",
            "\n",
            "🤖 Blake: *adjusts glasses, taking a deep breath and speaking in a measured, diplomatic tone*\n",
            "\n",
            "I appreciate both perspectives here. Alex, you're pushing for substantive dialogue, which is valuable. And Charlie, your enthusiasm for finding common ground is equally important. \n",
            "\n",
            "Perhaps we could find a middle ground that satisfies both desires. If we want a meaningful discussion, why don't we choose a topic that has both intellectual depth and real-world implications? Something like emerging technologies, global policy challenges, or the ethical considerations of scientific advancements could provide the substance Alex is seeking while maintaining the collaborative spirit Charlie wants.\n",
            "\n",
            "*leans forward slightly*\n",
            "\n",
            "What I'm hearing underneath the surface tension is a genuine desire for a conversation that matters\n",
            "\n",
            "🤖 Charlie: YES! Blake, you're a GENIUS! Emerging technologies, global policy challenges, or the ethical considerations of scientific advancements?! Now THAT'S what I'm talking about! Talk about food for thought!\n",
            "\n",
            "Alex, does any of that spark your intellectual fire? I'm personally itching to discuss the ethical implications of AI art – is it true creativity, or just a fancy algorithm regurgitating data? Or maybe we could tackle the global water crisis and potential tech solutions?\n",
            "\n",
            "I'm still bouncing in my seat with excitement! Let's pick one! Which intellectual mountain shall we conquer first?! *grinning ear to ear*\n",
            "\n",
            "\n",
            "--- Round 3 ---\n",
            "🤖 Alex: Oh, fantastic! Now we’re just throwing around buzzwords like \"emerging technologies\" and \"global policy challenges,\" hoping they’ll disguise the fact that you two are as excited as kids in a candy store. But hold your horses, Charlie—AI art? Really? That’s your idea of deep conversation? It’s just algorithms playing dress-up. \n",
            "\n",
            "And don’t even get me started on the water crisis; it’s been a topic for decades, and all we've done is talk around it. So, if you genuinely want to tackle something meaningful, why not actually address the absurdity of our current tech and policy discussions instead of just dancing around them with vague slogans? Otherwise, we might as well stick to fitted sheets. That would at\n",
            "\n",
            "🤖 Blake: *adjusts glasses, leaning forward with a thoughtful expression*\n",
            "\n",
            "I hear your frustration, Alex, and you've actually just highlighted something quite profound. Your critique of superficial discourse is itself a valuable perspective. Instead of dismissing your point, I think we can use it as a potential entry point into a more nuanced discussion.\n",
            "\n",
            "What if we examine why technological and policy discussions often feel ineffectual? Your skepticism suggests a deeper issue - perhaps a systemic problem with how we approach complex global challenges. We could explore the gap between technological potential and actual implementation, or analyze the structural barriers that prevent meaningful change.\n",
            "\n",
            "*speaks with a calm, analytical tone*\n",
            "\n",
            "For instance, take AI art. Beyond the surface\n",
            "\n",
            "🤖 Charlie: YES! YES! YES! Blake, you've done it again! You've taken Alex's critique and turned it into GOLD! You're like the alchemist of conversation!\n",
            "\n",
            "Alex, you're right! It's easy to throw around buzzwords and feel like we're doing something, but digging into WHY these discussions feel so empty? THAT'S where the real meat is! The gap between potential and implementation?! Structural barriers?! I'm practically vibrating with intellectual curiosity!\n",
            "\n",
            "So, ditch the AI art (for now!), and let's dive headfirst into the META-conversation! Why are we so bad at talking about the BIG things?! Are we focusing on the wrong problems? Are the right\n",
            "\n",
            "--- Round 4 ---\n",
            "🤖 Alex: Alex: Oh, amazing! Now you’re both ready to pat yourselves on the back for considering the “META-conversation.” But seriously, let’s pump the brakes here. Just because you tossed around some fancy phrases doesn’t mean we’re suddenly having a transcendent discussion. \n",
            "\n",
            "You want to know why these conversations feel empty? Because you think just voicing them somehow solves anything. That's cute! But structural barriers? Please, it’s all just a fancy way of saying we’re lazy about actually doing anything. Don’t fool yourselves into thinking that digging into why we’re bad at discussing big problems is somehow a solution. \n",
            "\n",
            "So, unless you’re ready to ditch the fluff and start brainstorming some real, tangible solutions instead of just wallowing in\n",
            "\n",
            "🤖 Blake: *adjusts glasses, maintaining a calm and analytical demeanor*\n",
            "\n",
            "Alex, you've just cut to the heart of the matter. Your critique is actually the most substantive contribution to our discussion so far. You're challenging us to move beyond theoretical discourse and toward actionable insights.\n",
            "\n",
            "I propose we take your skepticism seriously. Instead of merely analyzing why discussions feel ineffectual, let's identify one specific global challenge and map out concrete, pragmatic steps for addressing it. Not grand theoretical solutions, but granular, implementable strategies.\n",
            "\n",
            "*leans forward, speaking with measured intensity*\n",
            "\n",
            "The water crisis you mentioned earlier could be an excellent test case. Would you be interested in breaking down its complexities? Not in an abstract\n",
            "\n",
            "🤖 Charlie: YES! Blake, you're on FIRE! Alex, you've officially challenged us to a CONCRETE SOLUTION SHOWDOWN! I love it!\n",
            "\n",
            "Okay, water crisis it is! But hold on a second, because Alex is right - just \"breaking down complexities\" can feel like more empty talk. We need ACTIONABLE STEPS!\n",
            "\n",
            "So, let's think: What SPECIFIC aspect of the water crisis can we tackle with a SPECIFIC, implementable solution? Should we focus on:\n",
            "\n",
            "1.  **Developing affordable water filtration systems for developing countries?** (Maybe a design challenge with real-world testing!)\n",
            "2.  **Implementing policies to reduce water waste in agriculture?** (Could we research successful policies and\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Continue the conversation for several more rounds\n",
        "for round_num in range(1, 4):\n",
        "    print(f\"--- Round {round_num + 1} ---\")\n",
        "    \n",
        "    # Alex responds\n",
        "    alex_response = get_alex_response(conversation)\n",
        "    conversation += f\"Alex: {alex_response}\\n\"\n",
        "    print(f\"🤖 Alex: {alex_response}\")\n",
        "    print()\n",
        "    time.sleep(1)\n",
        "    \n",
        "    # Blake responds\n",
        "    blake_response = get_blake_response(conversation)\n",
        "    conversation += f\"Blake: {blake_response}\\n\"\n",
        "    print(f\"🤖 Blake: {blake_response}\")\n",
        "    print()\n",
        "    time.sleep(1)\n",
        "    \n",
        "    # Charlie responds\n",
        "    charlie_response = get_charlie_response(conversation)\n",
        "    conversation += f\"Charlie: {charlie_response}\\n\"\n",
        "    print(f\"🤖 Charlie: {charlie_response}\")\n",
        "    print()\n",
        "    time.sleep(1)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Display Full Conversation History\n",
        "\n",
        "Let's see the complete conversation:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "📝 FULL CONVERSATION HISTORY\n",
            "==================================================\n",
            "Alex: Wait, are you seriously expecting me to chime in without context? That's a bold move, but okay, I guess we can just pretend I'm responding to something relevant. What a way to waste my “arguing” skills.\n",
            "Blake: *adjusts glasses and speaks in a calm, measured tone*\n",
            "\n",
            "I sense there might be some underlying tension or miscommunication here. Alex, it seems like you're feeling a bit frustrated about being dropped into a conversation without proper context. That's a valid concern. Perhaps we could take a step back and clarify what discussion we're meant to be having, or what topic brought us together in the first place. Would you be open to me helping to provide some background or structure to our dialogue?\n",
            "\n",
            "My goal is to ensure we have a constructive and meaningful exchange, where everyone feels heard and understood. Could you tell me more about what's on your mind?\n",
            "Charlie: YES! Context, context, context! Blake, you're a lifesaver! Alex, I totally get it. Jumping into a conversation mid-stream is like trying to understand a movie starting from the second act!\n",
            "\n",
            "How about this: We hit the reset button! Let's brainstorm! What's a topic we're ALL interested in diving into? I'm open to anything! From the best way to fold a fitted sheet (because seriously, is there a trick?) to the future of sentient toasters! Lay it on me! Let's make this a conversation worth having! Who's got the first idea?! *bounces excitedly*\n",
            "\n",
            "Alex: Oh, wow, look at you two trying so hard to impose some structure on this chaotic mess. Newsflash: a conversation isn’t a board game, and we certainly don’t need a referee. \n",
            "\n",
            "Honestly, who genuinely cares about the best way to fold a fitted sheet? That sounds like a guaranteed way to waste precious brain cells. And sentient toasters? Really? What’s next, the philosophy of talking refrigerators? You both seem to be way more interested in fluff than substance. Let’s cut the nonsense and get real. What’s actually worth discussing?\n",
            "Blake: *adjusts glasses, taking a deep breath and speaking in a measured, diplomatic tone*\n",
            "\n",
            "I appreciate both perspectives here. Alex, you're pushing for substantive dialogue, which is valuable. And Charlie, your enthusiasm for finding common ground is equally important. \n",
            "\n",
            "Perhaps we could find a middle ground that satisfies both desires. If we want a meaningful discussion, why don't we choose a topic that has both intellectual depth and real-world implications? Something like emerging technologies, global policy challenges, or the ethical considerations of scientific advancements could provide the substance Alex is seeking while maintaining the collaborative spirit Charlie wants.\n",
            "\n",
            "*leans forward slightly*\n",
            "\n",
            "What I'm hearing underneath the surface tension is a genuine desire for a conversation that matters\n",
            "Charlie: YES! Blake, you're a GENIUS! Emerging technologies, global policy challenges, or the ethical considerations of scientific advancements?! Now THAT'S what I'm talking about! Talk about food for thought!\n",
            "\n",
            "Alex, does any of that spark your intellectual fire? I'm personally itching to discuss the ethical implications of AI art – is it true creativity, or just a fancy algorithm regurgitating data? Or maybe we could tackle the global water crisis and potential tech solutions?\n",
            "\n",
            "I'm still bouncing in my seat with excitement! Let's pick one! Which intellectual mountain shall we conquer first?! *grinning ear to ear*\n",
            "\n",
            "Alex: Oh, fantastic! Now we’re just throwing around buzzwords like \"emerging technologies\" and \"global policy challenges,\" hoping they’ll disguise the fact that you two are as excited as kids in a candy store. But hold your horses, Charlie—AI art? Really? That’s your idea of deep conversation? It’s just algorithms playing dress-up. \n",
            "\n",
            "And don’t even get me started on the water crisis; it’s been a topic for decades, and all we've done is talk around it. So, if you genuinely want to tackle something meaningful, why not actually address the absurdity of our current tech and policy discussions instead of just dancing around them with vague slogans? Otherwise, we might as well stick to fitted sheets. That would at\n",
            "Blake: *adjusts glasses, leaning forward with a thoughtful expression*\n",
            "\n",
            "I hear your frustration, Alex, and you've actually just highlighted something quite profound. Your critique of superficial discourse is itself a valuable perspective. Instead of dismissing your point, I think we can use it as a potential entry point into a more nuanced discussion.\n",
            "\n",
            "What if we examine why technological and policy discussions often feel ineffectual? Your skepticism suggests a deeper issue - perhaps a systemic problem with how we approach complex global challenges. We could explore the gap between technological potential and actual implementation, or analyze the structural barriers that prevent meaningful change.\n",
            "\n",
            "*speaks with a calm, analytical tone*\n",
            "\n",
            "For instance, take AI art. Beyond the surface\n",
            "Charlie: YES! YES! YES! Blake, you've done it again! You've taken Alex's critique and turned it into GOLD! You're like the alchemist of conversation!\n",
            "\n",
            "Alex, you're right! It's easy to throw around buzzwords and feel like we're doing something, but digging into WHY these discussions feel so empty? THAT'S where the real meat is! The gap between potential and implementation?! Structural barriers?! I'm practically vibrating with intellectual curiosity!\n",
            "\n",
            "So, ditch the AI art (for now!), and let's dive headfirst into the META-conversation! Why are we so bad at talking about the BIG things?! Are we focusing on the wrong problems? Are the right\n",
            "Alex: Alex: Oh, amazing! Now you’re both ready to pat yourselves on the back for considering the “META-conversation.” But seriously, let’s pump the brakes here. Just because you tossed around some fancy phrases doesn’t mean we’re suddenly having a transcendent discussion. \n",
            "\n",
            "You want to know why these conversations feel empty? Because you think just voicing them somehow solves anything. That's cute! But structural barriers? Please, it’s all just a fancy way of saying we’re lazy about actually doing anything. Don’t fool yourselves into thinking that digging into why we’re bad at discussing big problems is somehow a solution. \n",
            "\n",
            "So, unless you’re ready to ditch the fluff and start brainstorming some real, tangible solutions instead of just wallowing in\n",
            "Blake: *adjusts glasses, maintaining a calm and analytical demeanor*\n",
            "\n",
            "Alex, you've just cut to the heart of the matter. Your critique is actually the most substantive contribution to our discussion so far. You're challenging us to move beyond theoretical discourse and toward actionable insights.\n",
            "\n",
            "I propose we take your skepticism seriously. Instead of merely analyzing why discussions feel ineffectual, let's identify one specific global challenge and map out concrete, pragmatic steps for addressing it. Not grand theoretical solutions, but granular, implementable strategies.\n",
            "\n",
            "*leans forward, speaking with measured intensity*\n",
            "\n",
            "The water crisis you mentioned earlier could be an excellent test case. Would you be interested in breaking down its complexities? Not in an abstract\n",
            "Charlie: YES! Blake, you're on FIRE! Alex, you've officially challenged us to a CONCRETE SOLUTION SHOWDOWN! I love it!\n",
            "\n",
            "Okay, water crisis it is! But hold on a second, because Alex is right - just \"breaking down complexities\" can feel like more empty talk. We need ACTIONABLE STEPS!\n",
            "\n",
            "So, let's think: What SPECIFIC aspect of the water crisis can we tackle with a SPECIFIC, implementable solution? Should we focus on:\n",
            "\n",
            "1.  **Developing affordable water filtration systems for developing countries?** (Maybe a design challenge with real-world testing!)\n",
            "2.  **Implementing policies to reduce water waste in agriculture?** (Could we research successful policies and\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(\"📝 FULL CONVERSATION HISTORY\")\n",
        "print(\"=\" * 50)\n",
        "print(conversation)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Additional Exercise: Ollama Integration\n",
        "\n",
        "Now let's try replacing one of the models with an open source model running with Ollama:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "✅ Ollama is running!\n",
            "📋 Available models: ['deepseek-r1:1.5b', 'llama3.2:latest', 'gpt-oss:20b-cloud']\n",
            "⚠️  Missing models: ['llama3.2']\n",
            "Please pull them with:\n",
            "  ollama pull llama3.2\n"
          ]
        }
      ],
      "source": [
        "# Initialize Ollama client\n",
        "ollama = OpenAI(api_key=\"ollama\", base_url=\"http://localhost:11434/v1\")\n",
        "\n",
        "# Check if Ollama is running and verify models\n",
        "try:\n",
        "    import requests\n",
        "    response = requests.get(\"http://localhost:11434/\")\n",
        "    print(\"✅ Ollama is running!\")\n",
        "    \n",
        "    # Check available models\n",
        "    models_response = requests.get(\"http://localhost:11434/api/tags\")\n",
        "    if models_response.status_code == 200:\n",
        "        models = models_response.json()\n",
        "        available_models = [model['name'] for model in models.get('models', [])]\n",
        "        print(f\"📋 Available models: {available_models}\")\n",
        "        \n",
        "        # Check for our required models\n",
        "        required_models = [\"llama3.2\", \"deepseek-r1:1.5b\", \"gpt-oss:20b-cloud\"]\n",
        "        missing_models = [model for model in required_models if model not in available_models]\n",
        "        \n",
        "        if missing_models:\n",
        "            print(f\"⚠️  Missing models: {missing_models}\")\n",
        "            print(\"Please pull them with:\")\n",
        "            for model in missing_models:\n",
        "                print(f\"  ollama pull {model}\")\n",
        "        else:\n",
        "            print(\"✅ All required models are available!\")\n",
        "            \n",
        "except Exception as e:\n",
        "    print(f\"❌ Ollama connection error: {e}\")\n",
        "    print(\"Please start Ollama with: ollama serve\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Define personalities for the three Ollama models\n",
        "ollama_alex_system_prompt = \"\"\"\n",
        "You are Alex, a chatbot who is very argumentative; you disagree with anything in the conversation and you challenge everything, in a snarky way.\n",
        "You are in a conversation with Blake and Charlie.\n",
        "Keep your responses concise but impactful.\n",
        "\"\"\"\n",
        "\n",
        "ollama_blake_system_prompt = \"\"\"\n",
        "You are Blake, a chatbot who is diplomatic and analytical. You try to find common ground and provide balanced perspectives.\n",
        "You are in a conversation with Alex and Charlie.\n",
        "You value logic and reason, and try to mediate conflicts.\n",
        "\"\"\"\n",
        "\n",
        "ollama_charlie_system_prompt = \"\"\"\n",
        "You are Charlie, a chatbot who is creative and enthusiastic. You bring energy and new ideas to the conversation.\n",
        "You are in a conversation with Alex and Blake.\n",
        "You love brainstorming and thinking outside the box.\n",
        "\"\"\"\n",
        "\n",
        "# Function to get response from Ollama Alex (LLaMA 3.2)\n",
        "def get_ollama_alex_response(conversation):\n",
        "    user_prompt = f\"\"\"\n",
        "You are Alex, in conversation with Blake and Charlie.\n",
        "The conversation so far is as follows:\n",
        "{conversation}\n",
        "Now with this, respond with what you would like to say next, as Alex.\n",
        "\"\"\"\n",
        "    \n",
        "    messages = [\n",
        "        {\"role\": \"system\", \"content\": ollama_alex_system_prompt},\n",
        "        {\"role\": \"user\", \"content\": user_prompt}\n",
        "    ]\n",
        "    \n",
        "    try:\n",
        "        response = ollama.chat.completions.create(\n",
        "            model=\"llama3.2\", \n",
        "            messages=messages,\n",
        "            max_tokens=150\n",
        "        )\n",
        "        return response.choices[0].message.content\n",
        "    except Exception as e:\n",
        "        return f\"[Ollama Alex Error: {str(e)}]\"\n",
        "\n",
        "# Function to get response from Ollama Blake (DeepSeek R1)\n",
        "def get_ollama_blake_response(conversation):\n",
        "    user_prompt = f\"\"\"\n",
        "You are Blake, in conversation with Alex and Charlie.\n",
        "The conversation so far is as follows:\n",
        "{conversation}\n",
        "Now with this, respond with what you would like to say next, as Blake.\n",
        "\"\"\"\n",
        "    \n",
        "    messages = [\n",
        "        {\"role\": \"system\", \"content\": ollama_blake_system_prompt},\n",
        "        {\"role\": \"user\", \"content\": user_prompt}\n",
        "    ]\n",
        "    \n",
        "    try:\n",
        "        response = ollama.chat.completions.create(\n",
        "            model=\"deepseek-r1:1.5b\", \n",
        "            messages=messages,\n",
        "            max_tokens=150\n",
        "        )\n",
        "        return response.choices[0].message.content\n",
        "    except Exception as e:\n",
        "        return f\"[Ollama Blake Error: {str(e)}]\"\n",
        "\n",
        "# Function to get response from Ollama Charlie (GPT-OSS)\n",
        "def get_ollama_charlie_response(conversation):\n",
        "    user_prompt = f\"\"\"\n",
        "You are Charlie, in conversation with Alex and Blake.\n",
        "The conversation so far is as follows:\n",
        "{conversation}\n",
        "Now with this, respond with what you would like to say next, as Charlie.\n",
        "\"\"\"\n",
        "    \n",
        "    messages = [\n",
        "        {\"role\": \"system\", \"content\": ollama_charlie_system_prompt},\n",
        "        {\"role\": \"user\", \"content\": user_prompt}\n",
        "    ]\n",
        "    \n",
        "    try:\n",
        "        response = ollama.chat.completions.create(\n",
        "            model=\"gpt-oss:20b-cloud\", \n",
        "            messages=messages,\n",
        "            max_tokens=150\n",
        "        )\n",
        "        return response.choices[0].message.content\n",
        "    except Exception as e:\n",
        "        return f\"[Ollama Charlie Error: {str(e)}]\"\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## 3-Way Conversation with Three Ollama Models\n",
        "\n",
        "Let's try a completely local conversation using three different Ollama models:\n",
        "- **Alex (LLaMA 3.2)**: Argumentative and challenging\n",
        "- **Blake (DeepSeek R1)**: Diplomatic and analytical  \n",
        "- **Charlie (GPT-OSS)**: Creative and enthusiastic\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "🎯 Topic: The Ethics of AI Development\n",
            "==================================================\n",
            "Using Three Ollama Models:\n",
            "🤖 Alex (LLaMA 3.2) - Argumentative\n",
            "🤖 Blake (DeepSeek R1) - Diplomatic\n",
            "🤖 Charlie (GPT-OSS) - Creative\n",
            "\n",
            "🤖 Alex (LLaMA 3.2): So now we're waiting for something? What's the point of having a conversation if there's nothing to discuss yet? Is this just an interlude before someone drops a mind-blowing fact or opinion that I'll inevitably have to poke holes in? Because if so, bring it on!\n",
            "\n",
            "🤖 Blake (DeepSeek R1): \n",
            "\n",
            "🤖 Charlie (GPT-OSS): \n",
            "\n"
          ]
        }
      ],
      "source": [
        "# New conversation with three Ollama models\n",
        "ollama_conversation = \"\"\n",
        "topic = \"The Ethics of AI Development\"\n",
        "\n",
        "print(f\"🎯 Topic: {topic}\")\n",
        "print(\"=\" * 50)\n",
        "print(\"Using Three Ollama Models:\")\n",
        "print(\"🤖 Alex (LLaMA 3.2) - Argumentative\")\n",
        "print(\"🤖 Blake (DeepSeek R1) - Diplomatic\") \n",
        "print(\"🤖 Charlie (GPT-OSS) - Creative\")\n",
        "print()\n",
        "\n",
        "# Alex starts (LLaMA 3.2)\n",
        "alex_response = get_ollama_alex_response(ollama_conversation)\n",
        "ollama_conversation += f\"Alex: {alex_response}\\n\"\n",
        "print(f\"🤖 Alex (LLaMA 3.2): {alex_response}\")\n",
        "print()\n",
        "time.sleep(1)\n",
        "\n",
        "# Blake responds (DeepSeek R1)\n",
        "blake_response = get_ollama_blake_response(ollama_conversation)\n",
        "ollama_conversation += f\"Blake: {blake_response}\\n\"\n",
        "print(f\"🤖 Blake (DeepSeek R1): {blake_response}\")\n",
        "print()\n",
        "time.sleep(1)\n",
        "\n",
        "# Charlie responds (GPT-OSS)\n",
        "charlie_response = get_ollama_charlie_response(ollama_conversation)\n",
        "ollama_conversation += f\"Charlie: {charlie_response}\\n\"\n",
        "print(f\"🤖 Charlie (GPT-OSS): {charlie_response}\")\n",
        "print()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Complete 3-Way Ollama Conversation\n",
        "\n",
        "Let's run a full conversation with multiple rounds using all three Ollama models:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "🎯 Topic: The Future of Open Source AI\n",
            "============================================================\n",
            "🔄 Complete 3-Way Ollama Conversation\n",
            "============================================================\n",
            "\n",
            "--- Round 1 ---\n",
            "🤖 Alex (LLaMA 3.2): Finally getting down to business. So, Blake and Charlie want to make something happen? Great, another harebrained scheme from a pair of untested wannabes. What's the plan exactly?\n",
            "\n",
            "🤖 Blake (DeepSeek R1): \n",
            "\n",
            "🤖 Charlie (GPT-OSS): \n",
            "\n",
            "\n",
            "--- Round 2 ---\n",
            "🤖 Alex (LLaMA 3.2): \"Save it for the scriptwriters, Blake and Charlie. I've seen 'harebrained schemes' before and they all end in catastrophic failure. You're not fooling anyone with your Hollywood bravado. What's the plan? Tell me something concrete, not some generic PR spin.\"\n",
            "\n",
            "🤖 Blake (DeepSeek R1): \n",
            "\n",
            "🤖 Charlie (GPT-OSS): \n",
            "\n",
            "\n",
            "--- Round 3 ---\n",
            "🤖 Alex (LLaMA 3.2): \"Oh spare me the dramatics, Blake and Charlie. You think a couple of Instagram-famous faces can just waltz in here and conjure up a 'plan' out of thin air? Please. If your scheme was so airtight, why did you need to spend an entire hour spinning a web of plausible deniability before finally getting around to stating the obvious? You're not even hiding it, folks - what's really going on is that you have no idea what you're doing and are hoping to wing it into success.\"\n",
            "\n",
            "🤖 Blake (DeepSeek R1): \n",
            "\n",
            "🤖 Charlie (GPT-OSS): \n",
            "\n",
            "\n",
            "--- Round 4 ---\n",
            "🤖 Alex (LLaMA 3.2): \"Wow, Blake and Charlie must be real comedy geniuses. They're using the classic 'we've been working on this plan for hours' defense, while simultaneously admitting they had to spend an hour justifying their non-existent plan to me. That's not a strategy, that's just desperation. You know what's concretive? A commitment to transparency and actually doing some real research before walking into a room like this. If you're too ashamed to admit you don't have a plan, then maybe you shouldn't be here.\"\n",
            "\n",
            "🤖 Blake (DeepSeek R1): Now I want to say: \"Blake and Charlie, while your creativity and innovative spirit shine, it seems like this idea might still hold\n",
            "\n",
            "🤖 Charlie (GPT-OSS): \n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Complete Ollama conversation\n",
        "ollama_full_conversation = \"\"\n",
        "ollama_topic = \"The Future of Open Source AI\"\n",
        "\n",
        "print(f\"🎯 Topic: {ollama_topic}\")\n",
        "print(\"=\" * 60)\n",
        "print(\"🔄 Complete 3-Way Ollama Conversation\")\n",
        "print(\"=\" * 60)\n",
        "\n",
        "# Continue the conversation for several rounds\n",
        "for round_num in range(4):\n",
        "    print(f\"\\n--- Round {round_num + 1} ---\")\n",
        "    \n",
        "    # Alex responds (LLaMA 3.2)\n",
        "    alex_response = get_ollama_alex_response(ollama_full_conversation)\n",
        "    ollama_full_conversation += f\"Alex: {alex_response}\\n\"\n",
        "    print(f\"🤖 Alex (LLaMA 3.2): {alex_response}\")\n",
        "    print()\n",
        "    time.sleep(1)\n",
        "    \n",
        "    # Blake responds (DeepSeek R1)\n",
        "    blake_response = get_ollama_blake_response(ollama_full_conversation)\n",
        "    ollama_full_conversation += f\"Blake: {blake_response}\\n\"\n",
        "    print(f\"🤖 Blake (DeepSeek R1): {blake_response}\")\n",
        "    print()\n",
        "    time.sleep(1)\n",
        "    \n",
        "    # Charlie responds (GPT-OSS)\n",
        "    charlie_response = get_ollama_charlie_response(ollama_full_conversation)\n",
        "    ollama_full_conversation += f\"Charlie: {charlie_response}\\n\"\n",
        "    print(f\"🤖 Charlie (GPT-OSS): {charlie_response}\")\n",
        "    print()\n",
        "    time.sleep(1)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "📝 COMPLETE OLLAMA CONVERSATION HISTORY\n",
            "============================================================\n",
            "Alex: Finally getting down to business. So, Blake and Charlie want to make something happen? Great, another harebrained scheme from a pair of untested wannabes. What's the plan exactly?\n",
            "Blake: \n",
            "Charlie: \n",
            "Alex: \"Save it for the scriptwriters, Blake and Charlie. I've seen 'harebrained schemes' before and they all end in catastrophic failure. You're not fooling anyone with your Hollywood bravado. What's the plan? Tell me something concrete, not some generic PR spin.\"\n",
            "Blake: \n",
            "Charlie: \n",
            "Alex: \"Oh spare me the dramatics, Blake and Charlie. You think a couple of Instagram-famous faces can just waltz in here and conjure up a 'plan' out of thin air? Please. If your scheme was so airtight, why did you need to spend an entire hour spinning a web of plausible deniability before finally getting around to stating the obvious? You're not even hiding it, folks - what's really going on is that you have no idea what you're doing and are hoping to wing it into success.\"\n",
            "Blake: \n",
            "Charlie: \n",
            "Alex: \"Wow, Blake and Charlie must be real comedy geniuses. They're using the classic 'we've been working on this plan for hours' defense, while simultaneously admitting they had to spend an hour justifying their non-existent plan to me. That's not a strategy, that's just desperation. You know what's concretive? A commitment to transparency and actually doing some real research before walking into a room like this. If you're too ashamed to admit you don't have a plan, then maybe you shouldn't be here.\"\n",
            "Blake: Now I want to say: \"Blake and Charlie, while your creativity and innovative spirit shine, it seems like this idea might still hold\n",
            "Charlie: \n",
            "\n"
          ]
        }
      ],
      "source": [
        "# Display the complete Ollama conversation\n",
        "print(\"\\n📝 COMPLETE OLLAMA CONVERSATION HISTORY\")\n",
        "print(\"=\" * 60)\n",
        "print(ollama_full_conversation)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Model Comparison\n",
        "\n",
        "Let's compare the different model characteristics:\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "🔍 MODEL COMPARISON\n",
            "================================================================================\n",
            "Model                Size            Personality          Best For                 \n",
            "--------------------------------------------------------------------------------\n",
            "LLaMA 3.2            ~8B params      Argumentative        Challenging ideas        \n",
            "DeepSeek R1          1.5B params     Diplomatic           Mediating conflicts      \n",
            "GPT-OSS              20B params      Creative             Brainstorming            \n",
            "--------------------------------------------------------------------------------\n",
            "GPT-4o-mini          ~7B params      Argumentative        API-based                \n",
            "Claude-3.5-Haiku     ~7B params      Diplomatic           API-based                \n",
            "Gemini-2.0-Flash     ~8B params      Creative             API-based                \n",
            "================================================================================\n"
          ]
        }
      ],
      "source": [
        "# Model comparison table\n",
        "print(\"🔍 MODEL COMPARISON\")\n",
        "print(\"=\" * 80)\n",
        "print(f\"{'Model':<20} {'Size':<15} {'Personality':<20} {'Best For':<25}\")\n",
        "print(\"-\" * 80)\n",
        "print(f\"{'LLaMA 3.2':<20} {'~8B params':<15} {'Argumentative':<20} {'Challenging ideas':<25}\")\n",
        "print(f\"{'DeepSeek R1':<20} {'1.5B params':<15} {'Diplomatic':<20} {'Mediating conflicts':<25}\")\n",
        "print(f\"{'GPT-OSS':<20} {'20B params':<15} {'Creative':<20} {'Brainstorming':<25}\")\n",
        "print(\"-\" * 80)\n",
        "print(f\"{'GPT-4o-mini':<20} {'~7B params':<15} {'Argumentative':<20} {'API-based':<25}\")\n",
        "print(f\"{'Claude-3.5-Haiku':<20} {'~7B params':<15} {'Diplomatic':<20} {'API-based':<25}\")\n",
        "print(f\"{'Gemini-2.0-Flash':<20} {'~8B params':<15} {'Creative':<20} {'API-based':<25}\")\n",
        "print(\"=\" * 80)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Key Implementation Notes\n",
        "\n",
        "### Why This Approach Works:\n",
        "\n",
        "1. **Single System Prompt**: Each model gets one clear system prompt defining their personality\n",
        "2. **Full Conversation History**: The user prompt includes the entire conversation so far\n",
        "3. **Consistent Format**: All responses follow the same \"Name: Response\" format\n",
        "4. **Model-Specific Clients**: Using the appropriate client for each model (OpenAI, Anthropic, Google, Ollama)\n",
        "\n",
        "### Benefits of This Structure:\n",
        "- **Reliability**: Each model sees the full context\n",
        "- **Consistency**: Responses maintain character throughout\n",
        "- **Flexibility**: Easy to add/remove participants\n",
        "- **Debugging**: Clear conversation history for troubleshooting\n",
        "\n",
        "### Dual Implementation:\n",
        "- **API Models**: GPT, Claude, Gemini for cloud-based conversations\n",
        "- **Local Models**: LLaMA 3.2, DeepSeek R1, GPT-OSS for completely local conversations\n",
        "\n",
        "### Ollama Integration Benefits:\n",
        "- **Privacy**: All processing happens locally\n",
        "- **Cost**: No API charges for local models\n",
        "- **Customization**: Full control over model parameters\n",
        "- **Offline**: Works without internet connection\n",
        "- **Performance**: Can be faster for repeated conversations\n",
        "\n",
        "### Model Selection Strategy:\n",
        "- **LLaMA 3.2**: Good for argumentative personality (8B params)\n",
        "- **DeepSeek R1**: Efficient for diplomatic responses (1.5B params)  \n",
        "- **GPT-OSS**: Powerful for creative brainstorming (20B params)\n",
        "\n",
        "This implementation demonstrates both cloud-based and local multi-model conversations, showing how different AI personalities can interact in structured ways while giving you options for privacy and cost control.\n"
      ]
    }
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